Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
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Biostatisticians & Epidemiologists
Tamekia Jones, PhD Assistant Professor, Pediatrics & Preventive Medicine Tamekia L. Jones, Ph.D., is an Assistant Professor in the Department of Pediatrics with a secondary appointment in the Department of Preventive Medicine. Dr. Jones is a biostatistician for the Children’s Foundation Research Institute. In this role, she assists investigators with study design, sample size and power calculations, and statistical analyses. Prior to joining UTHSC, Dr. Jones served as a senior statistician for frontline Acute Lymphoblastic Leukemia clinical trials in the Children’s Oncology Group at the University of Florida. Her research interests include clinical trials, survival analysis, obesity, and health disparities.
Zoran Bursac, PhD Professor of Biostatistics, Preventive Medicine Zoran Bursac, PhD, MPH, is a Professor in the Division of Biostatistics and Associate Director and Senior Statistical Scientist in the Center for Population Sciences, in the Department of Preventive Medicine at the University of Tennessee Health Science Center. His background is in computer science and mathematics, and graduate work in biostatistics from The University of Oklahoma Health Science Center. His research areas of interest include logistic regression, repeated measures, missing data, categorical data analysis, variable selection algorithms, cluster randomized studies and nesting, in the chronic disease fields of obesity, weight loss, alcohol, tobacco and cancer prevention.